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9966 [12]
3 years ago
11

Which of the following does a rigid motion preserve?

Mathematics
2 answers:
marusya05 [52]3 years ago
7 0

Answer:

c

Step-by-step explanation:

Blababa [14]3 years ago
5 0
The answer is C because it moved figures to a new location without changing its size and shape. Hope this helps.
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Which fraction is not equivalent to 9/12<br> 15/20<br> 24/32<br> 6/8<br> 16/24
s2008m [1.1K]

Answer:

16/24

Step-by-step explanation:

9/12–> simplify to 3/4

3/4=15/20

24/32=3/4

6/8=3/4

16/24 is not equal

6 0
2 years ago
Read 2 more answers
How to simplify 24/3
Arturiano [62]

You can simplifying 24/3 by dividing 24 by 3.

24÷3=8

The answer is 8.

7 0
3 years ago
Read 2 more answers
F(x)=4x-1<br> G(x)=x+3<br> Find f(x)+g(x)
mr_godi [17]

Answer:

Answer is 5x+2

Step-by-step explanation:

Given \: f(x) = 4x - 1 \:  \: and \:  \\ g(x) = x + 3 \\ f(x) + g(x) = 4x -1    + x + 3 \\  = 5x + 2

<em>HAVE A NICE DAY</em><em>!</em>

<em>THANKS FOR GIVING ME THE OPPORTUNITY</em><em> </em><em>TO ANSWER YOUR QUESTION</em><em>. </em>

8 0
3 years ago
z varies directly with x^2 and inversely with y. When x = 2 and y = 4, z = 3. What is the value of z when x = 4 and y = 9?
Aloiza [94]
Attached the solution and work.

5 0
4 years ago
When sampling from a population, the sample mean will: Group of answer choices always be closer to the population mean as the sa
Radda [10]

Answer:

When sampling from a population, the sample mean will: be closer to the population mean as the sample size increases.

Step-by-step explanation:

The sample mean is not always equal to the population mean but if we increase the number of samples then the mean of the sample would become more and more closer to the population mean.

Usually the population size is very huge that is why we select a random sample from the population, care must be taken to ensure randomized sampling otherwise results would not be accurate. After that we have to make sure that the number of samples are enough for the given population size. The number of samples depends upon the shape of the population. If the population is normal than according to central limit theorem, a less number of samples would be enough to ensure normal distribution of sampling mean, otherwise a greater sample size will be required.

8 0
3 years ago
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